Khondokar Fida Hasan

University of Canberra — Australia

Engineering · Physical Sciences

18h-index1.9kcitations53works15.82yr avg
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Research Topics

Vehicular Ad Hoc Networks (VANETs)(14), Blockchain Technology Applications and Security(12), IoT and Edge/Fog Computing(8), Network Time Synchronization Technologies(8), Network Security and Intrusion Detection(7)

Publications53 total

EAGLE: A Provably and Verifiably Secure Blockchain-Enabled Dual-mode Authentication Scheme Using Reconfigurable PUFs for V2I Communication
Vehicular Communications·2026
Game On: A Developmental Approach to UNSW Cyber Escape Room for Cybersecurity Governance and Policy Education
Education Sciences·2026Open Access
An evaluation framework for network IDS/IPS datasets: Leveraging MITRE ATT&CK and industry relevance metrics
Computers & Security·2025· 1 citedOpen Access
Mind the Gap: Missing Cyber Threat Coverage in NIDS Datasets for the Energy Sector
arXiv (Cornell University)·2025Open Access
Optimizing Crop Recommendation with IoT and Machine Learning: A Smart Agriculture Framework 4.0
2025
Securing Healthcare IoT in the Quantum Age
2025
A Secured Triad of IoT, Machine Learning, and Blockchain for Crop Forecasting in Agriculture
arXiv (Cornell University)·2025· 1 citedOpen Access
MGAN-CRCM: a novel multiple generative adversarial network and coarse refinement-based cognizant method for image inpainting
Neural Computing and Applications·2025· 3 cited
Multimodal marvels of deep learning in medical diagnosis using image, speech, and text: A comprehensive review of COVID-19 detection
AI Open·2025· 3 citedOpen Access
MGAN-CRCM: A Novel Multiple Generative Adversarial Network and Coarse-Refinement Based Cognizant Method for Image Inpainting
arXiv (Cornell University)·2024Open Access
Quantum Threat in Healthcare IoT: Challenges and Mitigation Strategies
arXiv (Cornell University)·2024Open Access
Automated Detection of Harmful Insects in Agriculture: A Smart Framework Leveraging IoT, Machine Learning, and Blockchain
IEEE Transactions on Artificial Intelligence·2024· 23 cited
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction
Journal Of Big Data·2024· 187 citedOpen Access
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction
arXiv (Cornell University)·2024· 3 citedOpen Access
A Framework for Migrating to Post-Quantum Cryptography: Security Dependency Analysis and Case Studies
IEEE Access·2024· 28 citedOpen Access
Proposition of Augmenting V2X Roadside Unit to Enhance Cooperative Awareness of Heterogeneously Connected Road Users
Lecture notes in networks and systems·2024· 4 cited
A Decentralized Blockchain-Enabled Federated Learning Approach for Vehicular Networks
2023· 7 cited
Blockchain-Enabled Federated Learning Approach for Vehicular Networks
arXiv (Cornell University)·2023Open Access
Robust clinical applicable CNN and U-Net based algorithm for MRI classification and segmentation for brain tumor
Expert Systems with Applications·2023· 212 citedOpen Access
A robust and clinically applicable deep learning model for early detection of Alzheimer's
IET Image Processing·2023· 39 citedOpen Access
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Frequent Co-authors

Mohammad Ali Moni(20), Keyvan Ansari(9), Md. Alamin Talukder(8), Md. Manowarul Islam(8), Md. Ashraf Uddin(8), Yanming Feng(8), Arnisha Akhter(5), Salem A. Alyami(5), Yu‐Chu Tian(5), Mohammad Abu Yousuf(4), Shahadat Uddin(4), Hasibul Hossain Shajeeb(4), Mohammad Yousuf(3), Shirin Sultana(3), Jahin Hossain(3), Maruf Billah(3), Saifur Rahman(3), Adrita Rahman Tory(3), Mohammad Ali Abdullah Almoyad(2), Selina Sharmin(2)